Abstract. An application of the recently proposed generalized relevance learning vector quantization (GRLVQ) to the analysis and modeling of time series data is presented. We use G...
We introduce an algorithm for learning a local metric to a continuous input space that measures distances in terms of relevance to the processing task. The relevance is defined a...
This paper presents a parallel adaptive version of the block-based Gauss-Jordan algorithm used in numerical analysis to invert matrices. This version includes a characterization o...
Abstract. In this paper we present a novel method for pruning redundant weights of a trained multilayer Perceptron (MLP). The proposed method is based on the correlation analysis o...
This paper presents a multicast algorithm for peer-topeer dissemination of events in a distributed topic-based publish-subscribe system, where processes publish events of certain ...